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Handwriting recognition in Tibetan based on active learning strategy.

, , , and . IALP, page 132-136. IEEE, (2022)

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Dynamic Bayesian Network Inversion for Robust Speech Recognition., and . IEICE Trans. Inf. Syst., 90-D (7): 1117-1120 (2007)Realizing Tibetan speech synthesis by speaker adaptive training., , , and . APSIPA, page 1-4. IEEE, (2013)Towards Realizing Sign Language-to-Speech Conversion by Combining Deep Learning and Statistical Parametric Speech Synthesis., , and . ICYCSEE (1), volume 623 of Communications in Computer and Information Science, page 678-690. Springer, (2016)Development of a Chinese Depressed Speech Corpus Based on The Disturbed Effect of Self-Processing., , , , , , , and . APSIPA, page 718-722. IEEE, (2019)A DNN-based Mandarin-Tibetan cross-lingual speech synthesis., , and . APSIPA, page 1702-1707. IEEE, (2018)Ergodic Capacity and Throughput Analysis of Two-Way Wireless Energy Harvesting Network with Decode-and-Forward Relay., , , , and . ChinaCom, volume 262 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 729-739. Springer, (2018)Deep Neural Networks for Depression Recognition Based on Facial Expressions Caused by Stimulus Tasks., , and . ACII Workshops, page 133-139. IEEE, (2019)Realizing speech to gesture conversion by keyword spotting., and . ISCSLP, page 1-5. IEEE, (2016)A Method for Emotional Speech Synthesis Based on Speaker Adaptive Training., , and . ISCSLP, page 31-35. IEEE, (2018)Research on Dungan speech synthesis based on Deep Neural Network., , and . ISCSLP, page 46-50. IEEE, (2018)